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Iterative Joint Channel Estimation and Symbol Detection for Multi-User MIMO OFDM

Iterative Joint Channel Estimation and Symbol Detection for Multi-User MIMO OFDM
Iterative Joint Channel Estimation and Symbol Detection for Multi-User MIMO OFDM
Multiple-Input-Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems have recently attracted substantial research interest. However, compared to Single-Input-Single-Output (SISO) systems, channel estimation in the MIMO scenario becomes more challenging, owing to the increased number of independent transmitter-receiver links to be estimated. In the context of the Bell LAyered Space-Time architecture (BLAST) or Space Division Multiple Access (SDMA) multi-user MIMO OFDM literature, no channel estimation technique allows the number of users to be higher than the number of receiver antennas, which is often referred to as an “overloaded” scenario. In this contribution we propose a new Genetic Algorithm (GA) assisted iterative joint channel estimation and multiuser detection approach for MIMO SDMA-OFDM systems, which exhibits a robust performance in the above-mentioned overloaded scenario. Furthermore, GA-aided Multi-User Detection (MUD) techniques found in the literature can only provide a hard-decision output, while the proposed GA is capable of providing “soft” outputs, hence achieving an improved performance with the aid of channel decoders. Finally, a range of simulation results are provided to demonstrate the superiority of the proposed scheme.
221-225
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Akhtman, J.
d4fd2b26-c123-463d-847c-80adc83a89fa
Guo, F.C.
c9342785-b2ae-4ff6-9eec-f542406183d4
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Akhtman, J.
d4fd2b26-c123-463d-847c-80adc83a89fa
Guo, F.C.
c9342785-b2ae-4ff6-9eec-f542406183d4
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Jiang, M., Akhtman, J., Guo, F.C. and Hanzo, L. (2006) Iterative Joint Channel Estimation and Symbol Detection for Multi-User MIMO OFDM. IEEE VTC'06 (Spring), Australia. 07 - 10 May 2006. pp. 221-225 .

Record type: Conference or Workshop Item (Paper)

Abstract

Multiple-Input-Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems have recently attracted substantial research interest. However, compared to Single-Input-Single-Output (SISO) systems, channel estimation in the MIMO scenario becomes more challenging, owing to the increased number of independent transmitter-receiver links to be estimated. In the context of the Bell LAyered Space-Time architecture (BLAST) or Space Division Multiple Access (SDMA) multi-user MIMO OFDM literature, no channel estimation technique allows the number of users to be higher than the number of receiver antennas, which is often referred to as an “overloaded” scenario. In this contribution we propose a new Genetic Algorithm (GA) assisted iterative joint channel estimation and multiuser detection approach for MIMO SDMA-OFDM systems, which exhibits a robust performance in the above-mentioned overloaded scenario. Furthermore, GA-aided Multi-User Detection (MUD) techniques found in the literature can only provide a hard-decision output, while the proposed GA is capable of providing “soft” outputs, hence achieving an improved performance with the aid of channel decoders. Finally, a range of simulation results are provided to demonstrate the superiority of the proposed scheme.

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Published date: 2006
Additional Information: Event Dates: 7-10 May 2006
Venue - Dates: IEEE VTC'06 (Spring), Australia, 2006-05-07 - 2006-05-10
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 262620
URI: http://eprints.soton.ac.uk/id/eprint/262620
PURE UUID: b98320bc-bb77-4f03-99e7-ede0656d638b
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 23 May 2006
Last modified: 17 Dec 2019 02:03

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Contributors

Author: M. Jiang
Author: J. Akhtman
Author: F.C. Guo
Author: L. Hanzo ORCID iD

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